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AGROECOLOGY AND FOOD SECURITY: STRATEGIES FOR INTEGRATING ECOLOGICAL PRINCIPLES INTO GLOBAL AGRICULTURAL SYSTEMS Almira Ulimaz; Sevda Kara; Murat Arslan
Techno Agriculturae Studium of Research Vol. 3 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v3i3.3944

Abstract

Global food systems are facing increasing challenges arising from climate change, biodiversity loss, land degradation, resource depletion, and growing food demand. Conventional agricultural models have succeeded in enhancing productivity but have often generated environmental consequences that threaten long-term food security and ecological sustainability. Agroecology has emerged as a promising framework that applies ecological principles to agricultural production systems while promoting resilience, biodiversity conservation, and sustainable resource management. This study aims to examine the role of agroecology in strengthening food security and to identify strategies for integrating ecological principles into global agricultural systems. A qualitative research design based on a systematic literature review and thematic analysis was employed. Data were collected from peer-reviewed journal articles, international policy reports, institutional publications, and empirical studies published between 2010 and 2025. Findings indicate that agroecological practices contribute significantly to food security by improving soil fertility, enhancing biodiversity, increasing climate resilience, reducing dependence on external inputs, and strengthening local food systems. Community participation, knowledge integration, institutional support, and ecological diversification emerged as critical factors influencing successful implementation. Agroecological systems demonstrated greater adaptability to environmental and socio-economic disturbances compared with conventional agricultural approaches. The study concludes that integrating ecological principles into agricultural systems provides a viable pathway for achieving sustainable food security while simultaneously promoting environmental stewardship, agricultural resilience, and long-term sustainability within global food systems.
Quantum Measurement Problems and Proposed Solutions Cemil Kaya; Sevda Kara; Mohammad Ali
Journal of Tecnologia Quantica Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i2.1966

Abstract

The problem of quantum measurements has become one of the most controversial topics in quantum physics. Various interpretations of the role of observers and measurement processes in the quantum world have been proposed, but there is no clear consensus yet. The study focuses on the various proposed solutions to quantum measurement problems, highlighting the theory of decoherence and Many Worlds as promising alternatives. The purpose of this study is to analyze the various proposed solutions to quantum measurement problems and explore the relevance of decoherence theory and Many Worlds in explaining measurements without directly involving observers. The method used in this study is a literature analysis of 30 leading publications that discuss the topic of quantum measurement problems and proposed solutions. The data collected included theoretical and experimental studies relevant to Copenhagen's interpretation, Many Worlds, and decoherence theory. The study found that Copenhagen's interpretation continues to dominate the literature, but approaches such as Many Worlds and decoherence are gaining more attention. Decoherence theory in particular offers a more adequate explanation for bridging the gap between the quantum world and the classical world without requiring the role of an observer in measurement. The study concludes that although many solutions have been proposed, decoherence theory provides a more cohesive and comprehensive alternative in addressing quantum measurement problems. Further research is needed to test the reliability of these theories in more controlled quantum experiments.
SOIL QUALITY MONITORING TECHNOLOGY WITH IOT SENSORS IN NORWAY Emine Yildiz; Baran Akbulut; Sevda Kara
Techno Agriculturae Studium of Research Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i4.2002

Abstract

Internet of Things (IoT)-based soil quality monitoring technology presents new opportunities in sustainable agricultural management, especially in countries with extreme climatic conditions such as Norway. This study aims to evaluate the effectiveness of the use of IoT sensors in monitoring soil quality in real-time and its impact on agricultural productivity. A quasi-experimental research design was used by comparing a group that used IoT sensors and a control group that used traditional methods. The results show that the use of IoT improves the stability of soil moisture, temperature, pH, and nutrient levels, as well as reduces the waste of water and fertilizer. Farmers who used this technology reported a 15% increase in productivity compared to the control group. In conclusion, IoT technology has proven to be effective in improving land management efficiency and supporting sustainable agriculture, although infrastructure-related challenges still need to be addressed.  
ROLE OF THE GUT MICROBIOME IN THE PATHOGENESIS OF CROHN’ DISEASE Ahmet Demir; Sevda Kara; Javlonbek Khamraev
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i2.2022

Abstract

Crohn's disease is one of the inflammatory bowel diseases (IBD) whose pathogenesis is still not fully understood. Many studies have shown a link between dysbiosis of the gut microbiome and the development of the disease. However, the specific mechanism linking the microbiota to inflammation in Crohn's disease is still open to further exploration. This study aims to investigate the role of the gut microbiome in the pathogenesis of Crohn's disease, specifically in differentiating the composition of the microbiota in patients with active disease and in remission. This study used a cross-sectional design with a sample of 100 patients diagnosed with Crohn's disease. Fecal samples were collected and analyzed using metagenomic techniques (16S rRNA sequencing) to identify the composition of the microbiota. Analysis of inflammatory biomarkers such as C-reactive protein (CRP) is also performed to assess disease status. The results showed that patients with active disease had a decrease in the number of anti-inflammatory bacteria such as Faecalibacterium prausnitzii and an increase in pathogenic bacteria such as Escherichia coli. In addition, there was a correlation between microbiome dysbiosis and increased CRP levels in patients with active disease. Microbiome dysbiosis has an important role in exacerbating the symptoms of Crohn's disease. This study provides evidence that the management of the gut microbiota can be a new therapeutic approach in the treatment of Crohn's disease.
Decentralized Peer Review and e-Assessment in Hybrid Learning: Blockchain as a Tool for Equitable Feedback Mechanisms Sevda Kara; Murat Arslan; Zeynep Toprak
Journal Emerging Technologies in Education Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i3.2235

Abstract

Background. The integrity and equity of assessment in hybrid learning environments have been increasingly challenged by issues of transparency, bias, and centralized control. Traditional peer review systems often lack traceability and accountability, leading to concerns about the fairness and credibility of formative feedback. Purpose. This study explores the application of blockchain technology as a decentralized infrastructure for peer review and e-assessment in hybrid learning contexts. The research aims to evaluate how blockchain-based systems can enhance feedback transparency, reviewer accountability, and student trust in digital assessment processes. Method. Employing a design-based research methodology, a prototype blockchain-enabled peer assessment platform was developed and tested with 92 university students across two hybrid courses. Quantitative and qualitative data were collected through platform analytics, student surveys, and focus group discussions. Results. The results demonstrate that blockchain-based systems can serve not only as secure ledgers but also as ethical architectures for equitable formative assessment Conclusion. The study concludes that blockchain offers a viable mechanism for building equitable, transparent, and tamper-resistant assessment systems in hybrid learning. The research contributes to the growing field of educational technology by introducing a scalable model for decentralized e-assessment.
Leveraging Big Data Analytics for Talent Management and Prediction in Human Resources Ahmad Hariri; Rachmat Prasetio; Abdullah Al-Shammari; Sevda Kara
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1780

Abstract

Background. The increasing complexity of workforce management in modern organizations has driven the adoption of innovative tools such as Big Data Analytics (BDA) in human resources (HR). Talent management, encompassing recruitment, retention, and performance evaluation, has become a critical focus for organizations aiming to maintain competitiveness. Big Data Analytics enables HR professionals to identify patterns, predict trends, and make data-driven decisions, enhancing talent management processes. Despite its potential, the application of BDA in HR faces challenges, including data integration, privacy concerns, and skill gaps. Purpose. This study explores the role of Big Data Analytics in improving talent management and prediction, focusing on its impact on decision-making and organizational outcomes. Method. A mixed-method research design was employed, incorporating quantitative analysis of HR metrics and qualitative insights from interviews with HR professionals. Data were collected from 15 organizations across diverse industries, analyzing employee performance, recruitment patterns, and turnover rates. Predictive models were developed using machine learning algorithms to forecast talent trends and inform HR strategies. Results. The findings revealed that BDA significantly improved talent acquisition and retention processes, with a 25% increase in recruitment efficiency and a 30% reduction in turnover rates. Predictive models accurately identified high-potential candidates and flagged at-risk employees, enabling proactive interventions. Challenges related to data privacy and technical expertise were highlighted as areas for improvement. Conclusion. The study concludes that leveraging Big Data Analytics transforms talent management by enabling evidence-based decision-making and predictive insights. Addressing implementation challenges and investing in skill development will maximize its potential in HR practices.
The Impact of Ride-Hailing Platforms on the Livelihoods and Social Welfare of Gig Economy Workers in Indonesia Ratu Agung Bagus Ngurah Putra; Nandar Hlaing; Sevda Kara
Journal of Social Science Utilizing Technology Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i6.2834

Abstract

The rise of ride-hailing platforms has significantly transformed the labor market in Indonesia, especially within the gig economy. As a rapidly growing sector, these platforms offer flexible work opportunities, attracting millions of workers. However, the impact of ride-hailing on the livelihoods and social welfare of gig economy workers remains understudied. This research aims to explore how ride-hailing platforms influence the income stability, social security, and overall well-being of gig workers in Indonesia. A mixed-methods approach was used for this study, combining surveys and in-depth interviews with 300 gig workers from major cities like Jakarta, Surabaya, and Yogyakarta. The survey collected quantitative data on income patterns, job satisfaction, and access to social benefits, while qualitative interviews provided deeper insights into the social and psychological effects of gig work. The findings indicate that while ride-hailing platforms offer a source of income and flexible working hours, they also expose workers to income instability, lack of social protection, and job insecurity. Only 15% of workers reported having access to formal social security benefits, with many relying on informal networks for support. Additionally, mental health concerns were prevalent due to the unpredictable nature of gig work and the absence of a supportive work environment. The study concludes that while ride-hailing platforms offer significant economic opportunities, there is an urgent need for policy reforms that address workers' rights, social security, and job security to ensure the sustainability of their livelihoods and well-being.